Artificial Intelligence Apparatus and Method for monitoring prescribed Movements

Abstract

This invention provides an artificial intelligence (AI) apparatus and method for prescription, real-time monitoring and tracking individualized physical therapy exercise plan and classes to remote users. In one aspect, the present disclosure comprising a method utilizing the AI apparatus for prescribing body movements to individuals and/or groups that can be accessed via a digital communication network by a user at a remote location, sending digital video and audio content comprising AI-prescribed individualized exercises and classes from a server to a personal digital device or a computer associated with the system, AI-powered tracking and sending real-time feedback for the correct pattern of body movements, providing a social platform for communication among users or users-physical therapist, and a summarized AI-generated progress note of the user.

What is claimed is: 
     
         1 . An artificial intelligence apparatus for prescription of exercise routines to a user; comprising:
 a memory configured to store one or more inputs and user data, wherein the memory is communicatively coupled to a network;   a processor communicatively coupled to the network, configured to:
 provide access to the user to complete an initial evaluation comprising a general health and performance questionnaires and initial diagnosis; 
 provide an access to the user to perform pre-determined AI-guided assessments, wherein a camera and one or more physiological sensors are communicatively coupled to allows user to access the assessments, to perform AI-driven assessment of joints range of motion, muscular strength and performance to generate an initial evaluation response output; 
 receive initial evaluation response output that comprises: a movement video and physiological data from a user for the pre-determined AI-guided assessments; 
 analyze the assessments movement video and physiological data with AI-module with respect to a movement database, initial evaluation database, and extracting one or more pre-determined movement parameters; 
 prescribe one or more exercise routines to the user, wherein an AI-prescription established with respect to movement database, movement assessments, other users progress notes, exercise database and initial evaluation database; 
 provide information to the user about a one or more AI-prescribed exercise routine that can be accessed via the network; 
 transmit to an user interface that comprises a display and a camera, wherein the display allows user to access the AI-prescribed exercise routine and the camera is configured to capture video data of the one or more movements of the user and the physiological sensor is configurated to collect performance data while participating in the exercise routine; 
 analyze the one or more movements with respect to movement and initial evaluation databases and one or more pre-determined movement parameters; 
 determine the performance of AI-prescribed movements of the user with respect to the exercise and initial evaluation databases movement parameters; 
 generate and provide real-time feedback to the user based upon the performance of the movement, wherein the real time feedback comprising:
 an automated response from the AI-module; 
 real-time instruction using AI-driving module from the system comparing a measured movement parameter to a target movement parameter. 
 a summary of exercise performance based upon the movement of the user and analysis of the user movement or group of users, 
 
 wherein the feedback includes at least one of the following:
 visual, auditory, or haptic modalities. 
 
   
     
     
         2 . The system of  claim 1 , a secondary device for monitoring physiological metrics of the user. 
     
     
         3 . The system of  claim 1 , wherein the modeling algorithm comprises a human pose estimation model for each movement for the movement analysis engine. 
     
     
         4 . The system of  claim 1 , wherein the server can store one or more baseline measurements for each movement for the user and one or more prescribed measurements parameters for each movement. 
     
     
         5 . The system of  claim 1 , wherein the summary of exercise performance includes at least one of the following:
 Joint range of motion, lift height, depth, speed of movement, joint displacement, standing and walking performance scales.   
     
     
         6 . The system of  claim 1 , further comprising one or more physiological sensors, wherein the physiological sensors monitors at least one of the following:
 heart rate, energy exertion, number of steps, blood pressure, and blood oxygen.   
     
     
         7 . The system of  claim 1 , further comprising a social network among users wherein the social network provides at least the following:
 communication between users, exchanging comment, sharing video and picture, interacting with the instructor, and observing the performance and ratings of other users.   
     
     
         8 . The system of  claim 5 , wherein the summary of exercise performance transmits to databases via a network. 
     
     
         9 . The system of  claim 3 , wherein the modeling algorithm comprises a natural language processing for AI-generated summarized progress note report. 
     
     
         10 . A method for an AI-generated post-performance progress note summary report, comprising:
 a memory having one or more prescribed movement programs and/or classes, wherein the movement programs can include the user profile, one or more movements and one or more movement parameters, and one or more users;   the AI-generated summarized feedback generates a performance report based upon the biomechanical data of a user or multi users' performance of the performed exercise.   providing post-performance AI-generated summarized feedback report to the user upon completing the AI-prescribed exercise routine; and   communicating the post-performance feedback to the exercise and initial evaluation databases.